Featured Presentation:

Intro to Machine Learning: A non-practitioner guide

As Artificial Intelligence steadily roots itself in our daily lives, more and more companies turn to it's techniques to boost their services and competitiveness, thus making Machine Learning a first class ticket to some of the most interesting jobs nowadays. In this session we're going to explore history and basics of ML to understand what it is (and what it's not) and why it has become so important.

About Volodymyr:Volodymyr Solskyy is a data scientist and senior software engineer at SoftServe with almost 10 years of professional experience. For the last 2.5 years he’s been involved in various commercial and R&D analytics projects and specializes in information retrieval, social network analysis, anomaly detection, and big data. He's also a co-author of "Anomaly Detection - Unsupervised Approach" and "Bitcoin Analytics" papers, published in 2016.

The main concepts of Data Science projects

Taras Firman, Ph.D., Data Scientist Eleks

We will discover main concepts of Data Science projects. Will analyze Python DS tools and frameworks, and their integration with big projects. Also will consider popular DS cases and how to realize it with using Python.

About Taras:Data Science expert in Machine learning and Statistical analytics. He has 3 years of experience in computer vision, forecasting, optimization and other serious stuff.